Guide to building vs. buying an AI Agent for customer service
This guide will help you assess the build vs buy question from 5 main angles so you can make a confident, informed decision.
Learn MoreWhat is the omnichannel customer service dilemma, and how can we solve it? Chief Product & Technology Officer, Mike Gozzo, has some ideas.
Hallucinations in AI occur when an AI model generates information that is inaccurate or misleading but presents it as if it were true. For businesses relying on AI customer service, false or misleading information can erode customer trust and lead to operational inefficiencies.
There’s no magic solution to eliminating hallucinations, but there are ways to circumvent them. Here's everything you need to know about grounding and AI hallucinations.
Explore real-world examples of AI hallucinations, why they occur, and what's being done to address this challenge.
Why does AI hallucinate? Here's some clear and effective ways to prevent, detect, and correct AI hallucinations.
AI hallucinations aren’t an insurmountable obstacle, but rather an opportunity to continuously refine and enhance our AI systems.
Ready to automate your customer service emails? Here are some things to consider.
Despite the undeniable impact of AI, only 24% of customer service professionals currently using it. Here's why.
The future of CX automation is getting brighter and driving even better results. We recently covered this and more in our annual Spring product launch.
Companies are shifting their AI strategies to focus on supercharging leading models with their own data and processes. Here's why.
Making the move from chatbot to AI agent for your customer service can be intimidating, but we’re here to break it down for you.
We brought together some of the most innovative and ambitious C-Suite execs and CX leaders to talk about the shift from human-first to AI-first customer service.